Senior Associate - Quantitative Analyst at Capital One - US
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R152408 Posted 10/03/2022

Senior Associate - Quantitative Analyst

New York, New York | McLean, Virginia
  • Category Data Science
  • Experience Sr. Associate
  • Primary Address New York, New York

Overview

NYC 299 Park Avenue (22957), United States of America, New York, New York

Senior Associate - Quantitative Analyst

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

This position works on developing market risk models for the Capital Markets line of business. These models are critical to enabling continued prudent growth of the Commercial Bank and other trading activity. The outputs of these models will be used in hedging trading risks, stress testing, risk-weighted assets, and limits monitoring.

Responsibilities and Skills:

- Partner with internal teams to enhance statistical modeling and analytical framework for counterparty risk ranking and measurement

- Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions

- Solve analytical problems and effectively communicate methodologies and results

- Collaborate in a cross-disciplinary team to build cloud-based, real-time, intelligent solutions (APIs) grounded in data

- Identify opportunities to apply quantitative methods, machine learning and automation solutions to improve business performance and process efficiencies

- Take ownership of the model development process across all stages of model development including data collection, model build, model validation, testing and calibration
- Develop quantitative models based on statistical and mathematical principles and perform qualitative and quantitative data analysis and reporting by applying quantitative, mathematical, and statistical concepts, understanding of fixed income securities and derivatives pricing and risk methodologies, advanced tools such as VBA, C++, C#, Python or R, and data processing techniques including cash flow forecasting, stochastic calculus, Monte Carlo simulation, lattices/trees, finite differences, advanced statistical modeling (time series and panel data) 
- Support related quantitative functions, including stress testing, capital adequacy analysis, and other ad hoc portfolio analytics
- Combine business experience and insights with econometric and statistical modeling skills to reach results that are both intuitive and technically sound
- Prepare detailed reports to senior management to be used in business decision making regarding the results of statistical analyses understandable by non-statisticians
- Explore data visualization development using Python or another web-based platform to enhance current reporting abilities
- Develop and maintain productive working relationships with stakeholders including the Front Office, Middle Office, Model Validation Group, Audit, and regulators

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Successful candidates would possess:
- Strong understanding of quantitative analysis methods in relation to financial institutions
- Demonstrated track-record in machine learning and econometric analysis

- Strong coding skills in modern scripting languages such as Python or R
- Ability to clearly communicate modeling results to a wide range of audiences

- Strong written and verbal communication skills and ability to document analyses for reproducibility

Basic Qualifications:
- Bachelor’s Degree plus at least 5 years of experience in data analytics, or Master’s Degree plus at least 1 year of experience in data analytics, financial modeling or econometric modeling (can include Graduate School Research work)

Preferred Qualifications:

- Master’s Degree in a highly quantitative field (Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Computer Science/Machine Learning or Technology related discipline)

- Experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages) and working with data using query languages such as SQL

- Experience in statistical techniques such as classification, clustering, regression, and natural language processing

- Experience with machine learning platforms and frameworks (e.g., scikit-learn, PyTorch, Spark, NLTK)

- Experience working with large-scale, cloud-based coding environments and databases

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Location is New York City

- $128,783 and $151,935 for Sr Assoc,Quantitative Analysis

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Hiring Process
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We take finding great coworkers pretty seriously.

  • Step 1 Apply

    It only takes a few minutes to complete our application and assessment.

  • Step 2 Screen and Schedule

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  • Step 3 Interview(s)

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